高校化学工程学报2024，Vol.38Issue(6)：897-908,12.DOI:10.3969/j.issn.1003-9015.2024.06.007
面向工业数据调和、参数估计与过程模拟的精馏系统一体化平台设计
Design of a distillation system integration platform for industrial data reconcilation,parameter estimation and process simulation
摘要
Abstract
Process data is the basis for simulation and optimization of chemical process systems.However,some important variables may not set measuring points for many production processes,which is not able to obtain,and the data that can be collected usually has poor reliability.Data reconciliation and parameter estimation are two effective methods to solve the problem of poor data reliability and data missing,but current research focuses on only one of the methods with the joint method less studied.Therefore,this study proposed an integrated framework of data reconcilation-parameter estimation-process simulation for physical inputs with significant errors or missing data in distillation systems.An accelerated algorithm was developed to accelerate and simplify the solution of the two-layer framework,and a steady-state simulation algorithm was designed considering convergence and efficiency,which was applied to the inner layer of the double-layer framework.In addition,wavelet transform was used to realize automatic stability judgment of original industrial data in continuous periods.Manually decision of steady state is no longer necessary,and the integrated framework can be automatically used to complete the calculation and analysis based on automatic dividing of steady state conditions.Finally,the platform was applied to a phenylenediamine distillation system,and the success rate of the integrated framework was 98%under all steady-state conditions,which proves that the framework and the algorithm have good applicability and convergence.关键词
过程系统/数据调和/参数估计/精馏/物理输入/小波变换/苯二胺Key words
process systems/data reconciliation/parameter estimation/distillation/physical input/wavelet transform/phenylenediamine分类
化学化工引用本文复制引用
胡玉洁,陶新渝,陈曦..面向工业数据调和、参数估计与过程模拟的精馏系统一体化平台设计[J].高校化学工程学报,2024,38(6):897-908,12.基金项目
浙江省科技计划项目"尖兵领雁+X"研发攻关计划(2024C01028). （2024C01028）
